Cyngn Secures its 22nd U.S. Patent: for its AI-Powered Autonomous Vehicle Technologies
MWN-AI** Summary
Cyngn Inc. recently announced the acquisition of its 22nd U.S. patent, designated as 12,246,733, which focuses on innovative AI-powered autonomous vehicle technologies. This patent, titled "System and Methods of Off-Board Centric Autonomous Driving Computation," introduces a groundbreaking cloud-based approach for autonomous vehicle operations. By redistributing computational tasks between the vehicle and the cloud, Cyngn aims to diminish the hardware burden on vehicles, hence making them lighter and more cost-effective.
Through this system, vehicles can transmit essential sensor data to cloud servers, where complex functions such as environmental mapping, decision-making, and route planning are processed. This not only streamlines operations but also enhances vehicle safety by allowing the onboard systems to prioritize urgent tasks. Furthermore, the patented technology incorporates fleet management capabilities, enabling the coordinated operation of multiple autonomous vehicles via a unified cloud infrastructure.
CEO Lior Tal emphasized that this accomplishment underscores Cyngn's commitment to innovation in the autonomous technology sector. He noted that the recent patent grants bring the total number to 22 since August 2023, showcasing the company’s dedication to developing practical solutions for real-world applications, particularly in industrial settings.
Cyngn’s approach addresses significant challenges faced by industry, including labor shortages and increasing demand for automation in logistics. Through its DriveMod kit, Cyngn enables businesses to easily adopt self-driving technology without incurring the substantial costs associated with new vehicle investments. Cyngn’s recent patent significantly strengthens its position in the competitive autonomous vehicle market, paving the way for more advanced and safer driving solutions.
MWN-AI** Analysis
Cyngn Inc.’s recent patent grant for its AI-Powered Autonomous Vehicle Technologies can be viewed as a key milestone that solidifies its position within the rapidly evolving autonomous vehicle (AV) sector. With a total of 22 U.S. patents granted, this latest development emphasizes Cyngn's commitment to innovation and the potential for scalable solutions in the industrial automation landscape.
The newly patented system, focusing on off-board centric autonomous driving computation, significantly enhances operational efficiency by using cloud-based processing. This innovation allows vehicles to rely less on hefty onboard hardware, instead transferring complex tasks to the cloud—such as environmental mapping and route planning—thereby streamlining the vehicle's design. This paradigm shift towards lighter, cost-effective vehicles not only addresses manufacturing concerns but also improves safety through advanced driving algorithms and better fleet management capabilities.
Investors should consider the strategic implications of Cyngn's patent portfolio. The ability to provide seamless integration of self-driving technology into existing fleets widens the customer base, notably among industrial organizations grappling with labor shortages. Such adaptability positions Cyngn as a potential leader in a segment with surging demand.
Moreover, as the company continues to bolster its intellectual property, it could signal potential partnerships or acquisitions in the future as industry players seek to enhance their technology stacks. This strengthens the company's valuation prospects, especially as it aligns with the broader trend of digital transformation in industrial sectors.
In summary, existing and potential investors in Cyngn may find this latest patent an encouraging signal of the company’s growth trajectory and market relevance. Long-term investment strategies that capitalize on Cyngn's technological advancements and expansive patent framework are advisable as the AV market continues to mature.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
PR Newswire
Since August 2023 , Cyngn has been granted twelve additional patents, bringing the total U.S. patents granted to 22.
MENLO PARK, Calif. , April 3, 2025 /PRNewswire/ -- Cyngn Inc. (the "Company" or "Cyngn") (Nasdaq: CYN) announced the official granting of a new patent, 12,246,733, for the Company's innovative autonomous vehicle (AV) solutions.
The patent, System and Methods of Off-Board Centric Autonomous Driving Computation, introduces a cloud-based approach to autonomous vehicle operation, distributing computing tasks between the vehicle and the cloud to significantly reduce onboard hardware requirements. Vehicles transmit sensor data to cloud servers, where functions like environment mapping, decision-making, and route planning are processed before driving commands are sent back for execution. This allows the vehicle to prioritize safety-critical and time-sensitive functions.
The significance of this patent lies in its ability to enable lighter, more cost-effective autonomous vehicles while enabling sophisticated driving algorithms. Furthermore, the patent includes fleet management functionality, facilitating seamless coordination of multiple autonomous vehicles through a centralized cloud infrastructure.
"Since August 2023 , we've been granted twelve additional patents, bringing our total to 22 U.S. patents," said Lior Tal , CEO of Cyngn. "This milestone reflects our ongoing commitment to driving innovation and advancing autonomous technology, as we continue to build out a robust patent portfolio to protect our intellectual property. Each new patent represents the hard work of our team and our dedication to developing real-world solutions that are transforming material handling."
The grant of this patent marks a significant milestone in Cyngn's intellectual property strategy, further bolstering its position in the AV industry. This success follows Cyngn's recent patent issuance announcement of its 21st patent .
Cyngn provides its customers a seamless way to adopt self-driving technology into their operations without high upfront costs.
Previous patents include:
Patent Number | Title | Publication Date | |
22. | US-12,246,733-B2 | SYSTEM AND METHOD OF OFF-BOARD CENTRIC AUTONOMOUS DRIVING COMPUTATION | 3/11/2025 |
21. | US-12,039,867-B2 | ADAPTIVE OBJECT-BASED DECISION MAKING SYSTEM | 7/16/2024 |
20. | US-12,032,099-B2 | ADAPTIVE MOTION COMPENSATION OF PERCEPTION CHANNELS | 7/09/2024 |
19. | US-11,851,074-B2 | SYSTEM AND METHODS OF LARGE-SCALE AUTONOMOUS DRIVING VALIDATION | 12/26/2023 |
18. | US-11,837,090-B2 | SYSTEM AND METHODS OF ADAPTIVE TRAFFIC RULE-BASED DECISION MAKING FOR AUTONOMOUS DRIVING | 12/5/2023 |
17. | US-11,837,089-B2 | MODULAR EXTENSIBLE BEHAVIORAL DECISION SYSTEM FOR AUTONOMOUS DRIVING | 12/5/2023 |
16. | US-11,767,034-B2 | SYSTEM AND METHOD OF COMPUTATION ACCELERATION FOR AUTONOMOUS DRIVING SYSTEMS | 9/26/2023 |
15. | US-11,760,368-B2 | SYSTEM AND METHOD OF SAME-LOOP ADAPTIVE SIMULATION FOR AUTONOMOUS DRIVING | 9/19/2023 |
14. | US-11,747,454-B2 | GRANULARITY-FLEXIBLE EXISTENCE-BASED OBJECT DETECTION | 9/5/2023 |
13. | US-11,745,762-B2 | SYSTEM AND METHODS OF ADAPTIVE TRAJECTORY PREDICTION FOR AUTONOMOUS DRIVING | 9/5/2023 |
12. | US-11,745,747-B2 | SYSTEM AND METHOD OF ADAPTIVE DISTRIBUTION OF AUTONOMOUS DRIVING COMPUTATIONS | 9/5/2023 |
11. | US-11,745,750-B2 | SYSTEM AND METHOD OF LARGE-SCALE AUTOMATIC GRADING IN AUTONOMOUS DRIVING USING A DOMAIN-SPECIFIC LANGUAGE | 9/5/2023 |
10. | US-11,679,726-B2 | VEHICLE SENSOR SYSTEMS | 6/20/2023 |
9. | US-11,673,577-B2 | SYSTEM AND METHODS OF ADAPTIVE RELEVANCY PREDICTION FOR AUTONOMOUS DRIVING | 6/13/2023 |
8. | US-11,668,833-B2 | OBSTACLE DETECTION SYSTEMS | 6/6/2023 |
7. | US-11,651,583-B2 | MULTI-CHANNEL OBJECT MATCHING | 5/16/2023 |
6. | US-11,614,527-B2 | SELF-ADAPTIVE LIDAR-CAMERA SYNCHRONIZATION SYSTEM | 3/28/2023 |
5. | US-11,592,565-B2 | FLEXIBLE MULTI-CHANNEL FUSION PERCEPTION | 2/28/2023 |
4. | US-11,555,928-B2 | THREE-DIMENSIONAL OBJECT DETECTION WITH GROUND REMOVAL INTELLIGENCE | 1/17/2023 |
3. | US-11,372,115-B2 | VEHICLE LOCALIZATION | 6/28/2022 |
2. | US-11,186,234-B2 | VEHICLE SENSOR SYSTEMS | 11/30/2021 |
1. | US-11,169,271-B2 | OBSTACLE DETECTION SYSTEMS | 11/9/2021 |
For a comprehensive view of Cyngn's patents focused on modularity and flexibility of autonomous vehicle systems with multiple sensor modalities and configurations, please visit the USPTO.
About Cyngn
Cyngn develops and deploys scalable, differentiated autonomous vehicle technology for industrial organizations. Cyngn's self-driving solutions allow existing workforces to increase productivity and efficiency. The Company addresses significant challenges facing industrial organizations today, such as labor shortages, costly safety incidents, and increased consumer demand for eCommerce.
Cyngn's DriveMod Kit can be installed on new industrial vehicles at end of line or via retrofit, empowering customers to seamlessly adopt self-driving technology into their operations without high upfront costs or the need to completely replace existing vehicle investments.
Cyngn's flagship product, its Enterprise Autonomy Suite, includes DriveMod (autonomous vehicle system), Cyngn Insight (customer-facing suite of AV fleet management, teleoperation, and analytics tools), and Cyngn Evolve (internal toolkit that enables Cyngn to leverage data from the field for artificial intelligence, simulation, and modeling). For all terms referenced within, please refer to the Company's annual report on Form 10-K with the SEC filed on March 6, 2025 .
Where to find Cyngn:
- Website: https://cyngn.com
- X: https://x.com/cyngn
- LinkedIn: https://www.linkedin.com/company/cyngn
- YouTube: https://www.youtube.com/@cyngnhq
Investor Contact:
Donald Alvarez , CFO
investors@cyngn.com
Media Contact:
Luke Renner , Head of Marketing
media@cyngn.com
Forward-Looking Statements
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Any statement that is not historical in nature is a forward-looking statement and may be identified by the use of words and phrases such as "expects," "anticipates," "believes," "will," "will likely result," "will continue," "plans to," "potential," "promising," and similar expressions. These statements are based on management's current expectations and beliefs and are subject to a number of risks, uncertainties and assumptions that could cause actual results to differ materially from those described in the forward-looking statements, including the risk factors described from time to time in the Company's reports to the Securities and Exchange Commission (SEC), including, without limitation the risk factors discussed in the Company's annual report on Form 10-K filed with the SEC on March 6, 2025 . Readers are cautioned that it is not possible to predict or identify all the risks, uncertainties and other factors that may affect future results. No forward-looking statement can be guaranteed, and actual results may differ materially from those projected. Cyngn undertakes no obligation to publicly update any forward-looking statement, whether as a result of new information, future events, or otherwise.
This new patent of System and Methods of Off-Board Centric Autonomous Driving Computation enables autonomous vehicles to operate with reduced onboard computing hardware by offloading heavy computing tasks to the cloud. The vehicles send sensor data to cloud servers, which handle complex tasks like environment mapping, decision-making, and route planning. The cloud then sends back driving commands to the vehicle for execution, which allows the vehicle to focus on safety-critical and time-sensitive functions.
The significance in this patent lies in the fact that it allows for lighter, more cost-effective autonomous vehicles while enabling more sophisticated and safer driving algorithms. Moreover, the patent also supports fleet management capabilities, allowing multiple vehicles to be coordinated through the same cloud infrastructure.
SOURCE Cyngn
FAQ**
How does the newly granted patent, System and Methods of Off-Board Centric Autonomous Driving Computation, by Cyngn Inc. CYN influence the cost-effectiveness and safety of autonomous vehicles in operational settings?
What competitive advantages does Cyngn Inc. CYN gain from securing its 22nd U.S. patent in the rapidly evolving autonomous vehicle industry?
In what ways does the cloud-based system described in the Cyngn Inc. CYN patent enhance the scalability and efficiency of autonomous vehicle fleets?
How will Cyngn Inc. CYN leverage its new patent to address significant challenges in the industrial automation sector, like labor shortages and safety costs?
**MWN-AI FAQ is based on asking OpenAI questions about Cyngn Inc. (NASDAQ: CYN).
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